Going Deep: Models for Continuous-Time Within-Play Valuation of Game Outcomes in American Football with Tracking Data Ronald Yurko, Francesca Matano, Lee F. Richardson, Nicholas Granered, Taylor Pospisil, Konstantinos Pelechrinis, Samuel L. Ventura

Attention is All You Need, for Sports Tracking Data Udit Ranasaria, Pavel Vabishchevich

Investigating trade-offs made by American football linebackers using tracking data Eric Eager, Tej Seth

A Graph Neural Network deep-dive Amod Sahasrabudhe, Joris Bekkers

Explainable Defense Coverage Classification in NFL Games using Deep NN Huan Song, Mohamad Al Jazaery, Haibo Ding, Lin Lee Cheong, Jonathan Jung, Mike Band, Michael Chi, Tom Bliss

Feeling the Pressure: A Unified Framework Sungmin Hong, Laura Kulowski, Dan Volk, Henry Wang, Keegan Abdoo, Conor McQuiston, Jonathan Jung, Mike Band, Diego Socolinsky

PFF WAR Eric Eager, George Chahrouri

Estimating NBA Team Shot Selection Efficiency from Aggregations Justin Ehrlich, Shane Sanders

Using Tracking Data to Build Offensive Line Development Tools Eric Eager, Tej Seth, Ben Brown, Haley English, Geoff Schwartz